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Latest Release

Release 2021Q2.1

Discover the latest improvements (highlighted in blue) in our solutions.

This new minor update will be deployed on our live cloud environments on the following dates:

USA: 1st August 2021

Europe: 1st August 2021

Modular Onboarding
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Onboarding API

Validas v2.11.0

  • Enhancement of the mechanisms to provide end2end SDK-backend evidences Integrity assurance.
  • Improved comparison results between the document face photo and the selfie image for Colombia CO_IDCard_2020 document type thanks to a new filtering method.
  • New endpoint which allows to do the timestamp of the validation data (images, videos, etc.) and results with third party TSAs, and retrieve this time-stamped data after that.
  • New “GET /document/ocr/field-description” endpoint which returns the description of the document nodes (OCR fields).
  • A new section called challenges is now included in GET /validation/{id} endpoint response, containing the details of each challenge as long as a challenge was created and used in the validation process.
  • A new section called notValidatedScores is now included in GET /validation/{id}/scores endpoint response when the global score does not have a value equals to one. This allows to identify the scores which have penalized this global score.
  • Unique request ID is now returned to the VeriSaaS API users using the x-request-id header. Each request is uniquely identified, which might be helpful to trace support cases.

Identity Document Verification

Document Coverage

  • Add a new document the United States residence permit US_ResidencePermit_2017.
  • Add a new document in Norway (NO_IDCard_2020)
  • Add the new Spanish document (ES_IDCard_2021). Add auto-classification of this document to the group’s ES and ES_ID.

Security Features

  • Add photo replacement detection to General Passports (XX_Passport_YYY) with an FN of 1.5% and FP of 13%. This is represented in the score “ScoreGroup-PhotoAuthenticity”. The Photo Authenticity lever is deactivated by default.
  • Add photo replacement detection to all Netherland documents (NL_DrivingLicense_2006, NL_DrivingLicense_2013, NL_DrivingLicense_2014, NL_IDCard_2011, NL_IDCard_2014) with a FN of 1.5% and a FP of 12%. The lever of ScoreGroup-PhotoAuthenticity is deactivated by default.
  • Add replay detection only in Native platforms (iOS and Android) to General Passport (XX_Passport_YYYY) and Italian documents (IT_DrivingLicense_2000, IT_DrivingLicense_2013, IT_HealthCard_2004, IT_IDCard_2004, IT_IDCard_2016) with a FN of 1% and FP of 15%. The lever ScoreGroup-ReplayAttackTest is deactivated by default in all Italian documents and in the General Passport.
  • Add the score «ScoreGroup-PD_FiscalCode-DataValidity» as a lever in the Italian documents (IT_IDCard_2004, IT_IDCard_2016 and IT_HealthCard_2004). In the IT_IDCard_2004 document the lever is disabled.
  • Add section ‘Controles de seguridad Anti-spoofing / Anti-spoofing security checks’ to the boidas-details of all documents with antispoofing scores.
  • Add relation score ScoreRel-PD_Nationality_BackNoFlash-PD_Nationality_NFC-Text on Spanish document ES_ResidencePermit_2011.
  • Add nationality VIZ-MRZ relation score at Peruan document PE_IDCard_2020.
  • Update the list of nationalities that can be present in the Austrian document
  • Add data validity scores to the Italian documents IT_DrivingLicense_2000, IT_DrivingLicense_2013, IT_IDCard_2004, IT_IDCard_2016, IT_IDCard_2017 and IT_HealthCard_2004.
  • Add replay detection to Web-mobile and to General Passport (XX_Passport_YYYY) and Italian documents (IT_DrivingLicense_2000, IT_DrivingLicense_2013, IT_HealthCard_2004, IT_IDCard_2004, IT_IDCard_2016) with a FN of 1% and FP of 9%. The lever ScoreGroup-ReplayAttackTest is deactivated by default in all Italian documents and in the General Passport.

Funnel Conversion

  • Improve in Italian scores funnel by 10% and CER by 5% .
    • Change global score calculation in all the documents. There is an increment in the number of approved documents of 3% in the Italian documents IT_DrivingLicense_2000 and IT_DrivingLicense_2013.
    • Improve CER by 1% in the Fiscal Code field in the Italian documents (IT_IDCard_2004, IT_IDCard_2016 and IT_HealthCard_2004).
      Improve CER in a 1% in the BirthDate field in the Italian Health Card documents (IT_HealthCard_2004).
    • Add new PD_FiscalCode_Out node for the Italian document: IT_HealthCard_2004.
    • Improve CER in names and last names by 3% in Italian documents: IT_DrivingLicense_2000, IT_DrivingLicense_2013, IT_HealthCard_2004, IT_IDCard_2004, IT_IDCard_2016, IT_IDCard_2017.
    • Improve CER by 8% in Change PD_Sex node in Italian document IT_HealthCard_2004.
    • Improve the text location algorithm in the Italian document IT_HealthCard_2004 in order to reduce the CER by 7% and improve the number of approved documents by 2%. The processing time increments 40%.
    • Reduce CER on the PD_Nationality_Out node at 16% in italian documents IT_IDCard_2017.
    • Improve text detection algorithm in the Italy document (IT_IDCard_2017) to reduce the CER by 6%, to improve the number of approved documents by 13%, and the processing time is reduced by 23.52%.
    • Change the CAN, BirthCertificateCode and BirthPlaceMunicipality nodes in the Italian documents IT_IDCard_2004 and IT_IDCard_2016 to improve the CER 2% in case of IT_IDCard_2016 and 4% in case of IT_IDCard_2004.
    • Improve CER by 2% of PD_BirthPlaceState output node at the Italian document IT_HealthCard_2004.
  • Improve documents scores by removing data validity scores related to Name, LastName, ExpeditionPlace, BirthPlace and Address from the Italian documents:
    • IT_DrivingLicense_2000: average score improves by 1%.
    • IT_DrivingLicense_2013: data validity score improves by 2%, global score a 0.5% and average score by 1%.
    • IT_HealthCard_2004: data validity score improves by 15% and average score by 1%.
    • IT_IDCard_2004: data validity score improves by 8%, global score by 4% and average score by 1%.
    • IT_IDCard_2016
    • IT_IDCard_2017
  • Add ExpeditionDate_out node as output node in italian documents IT_IDCard_2017 document.
  • Improve text detection algorithm and improve scores computation in Brazil (BR_IDCard_2014). Reducing the CER a 13% overall and incrementing the number of approved documents by 10% also means the processing time is reduced by 10%.
  • Add ExpeditionDate and ExpeditionPlace as output nodes in the Brazilian document BR_DrivingLicense_2017.Improve OCR reading in the Italian document(IT_IDCard_2017). It increases the percentage of approved documents by 2%, the CER decreases by 1%.
  • Modify relations related to the identification number in the Great Britain driving licenses (GB_DrivigLicense_1998, GB_DrivingLicense_2007, GB_DrivingLicense_2014, GB_DrivingLicense_2015, GB_DrivingLicense-PL_1998, GB_DrivingLicense-PL_2007, GB_DrivingLicense-PL_2014, GB_DrivingLicense-PL_2015) improving the scores of Northern Ireland expedited documents.
  • Improve mrz extraction algorithm in documents with type 2 and 3 mrz.
    • Passport (XX_Passport_YYYY)
    • Belgium (BE_IDCard_2008)
    • Czech Republic (CZ_IDCard_2003)
    • Germany (DE_IDCard_2007)
    • France (FR_IDCard_1994)
    • Rumania (RO_IDCard_2009).
    • Reduction of CER %:
      • 3% in Passport (XX_Passport_YYYY).
    • Improve of funnel:
      • 3% in Passport (XX_Passport_YYYY)
      • 1% in Germany (DE_IDCard_2007)
      • 1.5% in France (FR_IDCard_1994)
      • 6% in Romania (RO_IDCard_2009).
  • Improve Spain documents (ES_IDCard_2006) classification and funnel by 6%.
  • Add out Nodes Expedition Date and Expedition Place to Spain documents (ES_ResidencePermit_2020 and ES_ResidencePermit_2011).
  • Change global score calculation in all the documents. There is an increment in the number of approved documents of 3% in the Spanish document ES_DrivingLicense_2013.
  • Improve the text detection in the France document (FR_IDCard_1994) in order to reduce the CER 6%, the number of approved documents increase in a 13%, and the processing time reduced in 23.52%.
  • Remove issuing country dataValidity information from boidas in Mexican documents: MX_IDCard_2008, MX_IDCard_2013, MX_IDCard_2014, MX_IDCard_2019.
  • Add CURP and Elector Key Exception Criteria in Mexico (MX_IDCard_2008, MX_IDCard_2013, MX_IDCard_2014, MX_IDCard_2019).
  • Remove generated expiration date in Colombia (ID_Card_2020)
    Add issuing country output node at Colombian document (CO_IDCard_2020).
  • Add Code39 decoding and DocumentNumber MRZ-Code39 relations in Uruguay (UY_IDCard_2015).
  • Add nationality data validity score (`ScoreGroup-PD_Nationality-DataValidity`) to the following documents: Colombia (CO_IDCard_2020), Liechtenstein (LI_IDCard_1995), Mexico (MX_IDCard_2013, MX_IDCard_2014, MX_IDCard_2019), Peru (PE_IDCard_2007, PE_IDCard_2013), Poland (PL_IDCard_2001), United States (US-MI_DrivingLicense_2017, US-NY_DrivingLicense_2008)
  • Add sex output nodes and sex data validity score (`ScoreGroup-PD_Sex-DataValidity`) to LI_IDCard_1995.
  • Add nationality output node to the following documents: Mexico (MX_IDCard_2013, MX_IDCard_2014, MX_IDCard_2019), Peru (PE_IDCard_2007, PE_IDCard_2013), Poland (PL_IDCard_2001), Liechtenstein (LI_IDCard_1995), United States (US-MI_DrivingLicense_2017, US-NY_DrivingLicense_2008)
  • AT_ResidencePermit_2005 improving the nationality data validity score by 15%.
  • Add nationality data validity score to the Austrian document AT_ResidencePermit_2005.
  • Improve NFC data reading in Spain (ES_IDCard_2021).
  • Improve the process of no SDK image, allowing to process images with greater height than the width (vertical images).
  • Improve type 2/3 MRZ extraction in Passport (XX_Passports_YYYY):Reduction of CER 0.2%. Increase of global score 0.6%
  • Improve type 2/3 MRZ extraction in Romania (RO_IDCard_2009): Reduction of CER 0.2%. Increase of global score 8%.
  • Improve the image preprocessing on the Brazilian document (BR_IDCard_2014). It decreases the CER by 2%.
  • Improve CER of «PD_Observations» node in Spain (ES_ResidencePermit_2020) by 14%.
  • Improve reading of the nodes name and last name in Norway documents (NO_IDCard_2020, NO_DrivingLicense_1998, NO_DrivingLicense_2007, NO_DrivingLicense_2013).

Facial biometrics and Liveness detection

das-Face v3.2.0

  • Improved passive anti-spoofing performance.
    • For a threshold of 0.7 APCER is 46% lower with respect to the previous release. BPCER has no measurable differences.
    • For a threshold of 0.9 APCER is 57% lower with respect to the previous release. BPCER has no measurable differences.
  • The average processing time of the selfie vs document face image comparison has improved 22,48% from the previous release, reducing the average time of the selfie processing step.

das-Face QR

  • Aztec Codes can now be generated without base85 encoding and without custom headers which allows to be readed by any conventional Aztec Code reader and not only by das-FaceQR

Reviewing dashboard

boi-Das v1.12.5

  • New API endpoints which allow supervisor to manage contextual filters
  • New API endpoint which allows to obtain timestamp zip file
  • Export now includes timestamp information
  • New zip file “timestamp.zip” included in the validation export package collecting all timestamp artifacts including hash
  • Personal data (OCR text) edition: The user is able to modify the personal data on a pending validation and save the changes so that the modified data is available each time the validation is retrieved
  • New timestamp information is shown in the “Validation Information” tab
  • New searching engine with “null” string matching for empty fields
  • Expire session automatically after a certain period of time. The default value is 12 hours, but it is possible to modify using the new environment variable

SESSION_TIMEOUT

Plug&Play Onboarding
Ready to use

XpressID v2.8.3

  • New functionality for the selfie capture process which allows to implement a random challenge. This feature is called Selfie Alive Pro (SAP) and includes UI and UX changes. The new parameter “selfieChallenge” activates the challenge.
  • New functionality which allows to timestamp the validation information data (evidences, OCR, scores, etc). Three new parameters are available to configure it: “timestamp”, “timestampRequired” and “timestampAuthority”.
  • The video process now includes the face detection feature from the video SDK.
  • The video process now has smart detection for Mexico and Spanish documents.
  • Full screen functionality for the Selfie Alive and video processes. The video, while it is being captured, now occupies the entire place where the frame is embedded.
  • Size increase of the document detection rectangle in the video process
    Increased detection for further afield in the video process
  • The SAP process now includes a new tutorial before the capture, with instructions for the process.
  • New customization additions:
    • New error message window for the video process when there is no face or document detection
    • New configuration colour for buttons for the selfie alive process

Fraud detection

das-FaceBond v1.6.1

  • Increased identification speed for galleries of up to 10,000,000.
    • The time needed for a high accuracy identification in a 1,000,000 identities gallery has been reduced to less than 1 second.
    • The time needed for an exact identification in a 1,000,000 identities gallery has been reduced to 5.8 seconds.

 

  • Support for das-Face 3.0 or later.
  • Update of identification performance when used with das-Face 3.2.
    • Our engine has been evaluated by NIST achieving a 2.78% False Negative Identification Rate (FNIR) on a 640K identities gallery. A 3.73%, 4.91%, and 7.53% FNIR have been reported for 1.3M, 3M, and 6M identities galleries respectively.
    • The new das-Face model improves clustering accuracy from 97.5% to 97.6%.
MVI_5439_Moment8

User Authentication

Voice Biometrics

das-Peak v2.5.0

  • Anti-spoofing for pre-recorded voice detection improved.

Plug&Play onboarding

User Authentication

Fraud Detection

If you have any concerns or find any issues with this new release please reach out to our Support Desk by raising a ticket at Veridas Service Desk or by sending an email to: support@veridas.com

Onboarding is just the beginning!